Release date: 2017-08-07
On August 3, Tencent announced the launch of AI medical imaging product, Tencent Shadow, which aims to use artificial intelligence technology to help doctors screen early esophageal cancer screening and kill the disease in the cradle.
Starting today, this product will begin clinical trials at the Sun Yat-sen University Cancer Hospital (Guangdong Provincial Esophageal Cancer Research Institute), Guangdong Second People's Hospital, and Shenzhen Nanshan District People's Hospital.
Tencent revealed that esophageal cancer is one of the common malignant tumors in China. Due to the lack of effective early screening methods, the detection rate of esophageal cancer in China is less than 10%. Tencent's shadow can improve the chances of early detection of esophageal cancer, screening accuracy of up to 90%.
According to Professor Fu Jianhua, director of the Institute of Esophageal Cancer, Guangdong Province, the specific operation of AI screening for early esophageal cancer is that the team classifies hundreds of thousands of esophageal endoscopy images. After different levels of doctors mark the cycle, the pictures are given to The Tencent AI team performs image processing, enhancement, and screening for early esophageal cancer with deep learning techniques. 
â–² How does Tencent Shadows recognize early esophageal cancer? (Source: Tencent) In addition to early screening for esophageal cancer, this technology will support early lung cancer, diabetic retinopathy, breast cancer and other diseases in the future.
When genetic testing technology became popular, the media often quoted a sentence: "Modern medicine shows that except for injuries, almost all human diseases are related to genes. Genetic testing technology can lock disease genes, prevent and treat them in advance, and treat human bodies. Health is profound."
Techniques such as image recognition and deep learning with artificial intelligence can also help doctors and patients to detect early cancer and prevent and treat them in advance. In this way, the value of artificial intelligence applied in the medical field can not be lost to genetic testing.
Source: Technews Technology News
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